Charles Amory

4.6k total citations · 2 hit papers
55 papers, 2.0k citations indexed

About

Charles Amory is a scholar working on Atmospheric Science, Global and Planetary Change and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Charles Amory has authored 55 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Atmospheric Science, 26 papers in Global and Planetary Change and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Charles Amory's work include Cryospheric studies and observations (46 papers), Climate variability and models (19 papers) and Winter Sports Injuries and Performance (12 papers). Charles Amory is often cited by papers focused on Cryospheric studies and observations (46 papers), Climate variability and models (19 papers) and Winter Sports Injuries and Performance (12 papers). Charles Amory collaborates with scholars based in Belgium, France and United Kingdom. Charles Amory's co-authors include Christoph Kittel, Xavier Fettweis, Cécile Agosta, Hubert Gallée, Charlotte Lang, Alison Delhasse, Vincent Favier, Dirk van As, Jan Melchior van Wessem and Stefan Hofer and has published in prestigious journals such as Nature Communications, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Charles Amory

53 papers receiving 2.0k citations

Hit Papers

Reconstructions of the 1900–2015 Greenland ice sheet surf... 2017 2026 2020 2023 2017 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Charles Amory Belgium 23 1.9k 795 487 241 144 55 2.0k
Christoph Kittel Belgium 19 1.5k 0.8× 709 0.9× 320 0.7× 165 0.7× 133 0.9× 56 1.6k
Julien P. Nicolas United States 20 2.1k 1.1× 1.4k 1.7× 329 0.7× 134 0.6× 242 1.7× 31 2.4k
Irina Gorodetskaya Portugal 26 2.0k 1.1× 1.4k 1.7× 214 0.4× 77 0.3× 94 0.7× 62 2.1k
Fernando Paolo United States 16 1.4k 0.8× 314 0.4× 693 1.4× 323 1.3× 169 1.2× 28 1.7k
Alexander H. Jarosch Iceland 20 1.4k 0.7× 322 0.4× 239 0.5× 198 0.8× 164 1.1× 40 1.6k
Romain Millan France 20 1.9k 1.0× 206 0.3× 719 1.5× 432 1.8× 124 0.9× 54 2.0k
T. M. Haran United States 16 1.7k 0.9× 316 0.4× 537 1.1× 278 1.2× 119 0.8× 33 1.9k
Jan Wuite United Kingdom 20 1.5k 0.8× 164 0.2× 707 1.5× 414 1.7× 185 1.3× 43 1.7k
Johan Nilsson United States 8 1.0k 0.5× 161 0.2× 435 0.9× 211 0.9× 253 1.8× 15 1.2k
Ellyn M. Enderlin United States 18 1.8k 0.9× 282 0.4× 536 1.1× 260 1.1× 221 1.5× 50 1.9k

Countries citing papers authored by Charles Amory

Since Specialization
Citations

This map shows the geographic impact of Charles Amory's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Charles Amory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Amory more than expected).

Fields of papers citing papers by Charles Amory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles Amory. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Charles Amory. The network helps show where Charles Amory may publish in the future.

Co-authorship network of co-authors of Charles Amory

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Amory. A scholar is included among the top collaborators of Charles Amory based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles Amory. Charles Amory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jourdain, Nicolas C., Pierre Mathiot, Fabien Gillet‐Chaulet, et al.. (2025). Uncertainty in the projected Antarctic contribution to sea level due to internal climate variability. Earth System Dynamics. 16(1). 293–315. 2 indexed citations
2.
Picard, Ghislain, et al.. (2024). Widespread longitudinal snow dunes in Antarctica shaped by sintering. Nature Geoscience. 17(9). 889–895.
3.
Brun, Fanny, Owen King, Marion Réveillet, et al.. (2023). Everest South Col Glacier did not thin during the period 1984–2017. ˜The œcryosphere. 17(8). 3251–3268. 7 indexed citations
4.
Wille, Jonathan, Vincent Favier, Nicolas C. Jourdain, et al.. (2022). Intense atmospheric rivers can weaken ice shelf stability at the Antarctic Peninsula. Communications Earth & Environment. 3(1). 72 indexed citations
5.
Wever, Nander, Eric Keenan, Charles Amory, et al.. (2022). Observations and simulations of new snow density in the drifting snow-dominated environment of Antarctica. Journal of Glaciology. 69(276). 823–840. 16 indexed citations
6.
Fang, Gonghuan, Jing Yang, Zhi Li, et al.. (2022). Shifting in the global flood timing. Scientific Reports. 12(1). 18853–18853. 23 indexed citations
7.
Mottram, Ruth, Nicolaj Hansen, Christoph Kittel, et al.. (2021). What is the surface mass balance of Antarctica? An intercomparison of regional climate model estimates. ˜The œcryosphere. 15(8). 3751–3784. 86 indexed citations
8.
Pohl, Benjamin, Vincent Favier, Jonathan Wille, et al.. (2021). Relationship Between Weather Regimes and Atmospheric Rivers in East Antarctica. Journal of Geophysical Research Atmospheres. 126(24). 32 indexed citations
9.
Verjans, Vincent, Amber Leeson, Malcolm McMillan, et al.. (2021). Uncertainty in East Antarctic Firn Thickness Constrained Using a Model Ensemble Approach. Geophysical Research Letters. 48(7). 13 indexed citations
10.
Jourdain, Nicolas C., Christoph Kittel, Cécile Agosta, et al.. (2021). Future surface mass balance and surface melt in the Amundsen sector of the West Antarctic Ice Sheet. ˜The œcryosphere. 15(2). 571–593. 27 indexed citations
11.
Hofer, Stefan, Charlotte Lang, Charles Amory, et al.. (2020). Doubling of future Greenland Ice Sheet surface melt revealed by the new CMIP6 high-emission scenario. 1 indexed citations
12.
Jourdain, Nicolas C., Christoph Kittel, Cécile Agosta, et al.. (2020). Future ice-sheet surface mass balance and melting in the Amundsen region, West Antarctica. 1 indexed citations
13.
Kittel, Christoph, Charles Amory, Cécile Agosta, Alison Delhasse, & Xavier Fettweis. (2019). Added value of the regional climate model MAR for simulating the surface mass balance of the Antarctic ice sheet compared to a global climate model (ACCESS1.3). Open Repository and Bibliography (University of Liège). 1 indexed citations
14.
Agosta, Cécile, Charles Amory, Christoph Kittel, et al.. (2019). Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes. ˜The œcryosphere. 13(1). 281–296. 183 indexed citations
16.
Agosta, Cécile, Charles Amory, Christoph Kittel, et al.. (2018). Estimation of the Antarctic surface mass balance using MAR(1979–2015) and identification of dominant processes. Biogeosciences (European Geosciences Union). 13 indexed citations
17.
Wessem, Jan Melchior van, Willem Jan van de Berg, Brice Noël, et al.. (2018). Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 2: Antarctica (1979–2016). ˜The œcryosphere. 12(4). 1479–1498. 324 indexed citations breakdown →
18.
Amory, Charles, A. Trouvilliez, Hubert Gallée, et al.. (2015). Comparison between observed and simulated aeolian snow mass fluxes in Adélie Land, East Antarctica. ˜The œcryosphere. 9(4). 1373–1383. 48 indexed citations
19.
Bellot, Hervé, et al.. (2014). Characterization of sastrugi fields with TLS (Terrestrial Laser Scan) and simple digital photos. EGUGA. 12145. 1 indexed citations
20.
Amory, Charles, et al.. (2004). Deriving change architectures from RCS history.. 210–215. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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